Professor of Computer Vision

Research

Research Interests:

Overall research goal: design a computer system that understands what it sees

Specifically, my research interests include computer vision, machine learning, pattern recognition,
and data mining. The basic idea is to develop algorithms and models for automated analysis of
video content. In particular, I aim to address the problems of extracting informative and concise
features from video, constructing dynamic models in the feature space, developing
effective and efficient algorithms for learning the structure and parameters of the models,
and applying the models to interpret the video content.
Recently I have been focused on video behaviour analysis for anomaly detection,
human action recognition, multi-sensor data fusion for behaviour monitoring, adaptive and incremental
learning, model order selection and feature selection, and biometrics.